Evidence map›Paper›PMID 41954601›Full record

Observational studyCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026

Impacts of Hurricane-Related Flooding on Time to Initial Cancer-Directed Treatment in North Carolina.

Joyce Pak, Bradford E Jackson, Shabbar I Ranapurwala, Miyuki Hino, Lawrence S Engel, Katherine E Reeder-Hayes, Jillian L Evans-Strong, Jennifer L Lund

Abstract readObservational Study
In one paragraph

Observational study in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Joyce PakDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0003-2443-7971
Bradford E JacksonLineberger Comprehensive Cancer Care Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0003-0950-2907
Shabbar I RanapurwalaDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0002-3944-3912
Miyuki HinoEnvironment, Ecology and Energy Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-9369-5769
Lawrence S EngelDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-9268-4830
Katherine E Reeder-HayesLineberger Comprehensive Cancer Care Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-6903-0177
Jillian L Evans-StrongDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0009-0003-6373-3850
Jennifer L LundDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0002-1108-0689

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
NCI NIH HHS P30 CA016086NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

backgroundHurricanes can disrupt healthcare delivery and patients' access to timely cancer care. Such disruptions may contribute to adverse cancer outcomes, yet few studies have examined hurricane-related delays in treatment initiation.

methodsWe conducted a quasi-experimental, observational study using a controlled interrupted time series to evaluate the association between hurricane exposure and time to initial treatment among patients diagnosed with breast, colorectal, or lung cancer in North Carolina (NC) following Hurricanes Matthew (2016) and Florence (2018). The analysis included 59,406 patients between November 2015 and August 2019 in the NC Central Cancer Registry. Hurricane-exposed areas were defined using (i) presidential disaster declarations (county level) and (ii) flood extent data [Flood Extents Archive ((FLDEX)] at county and ZIP-code levels. The monthly median time to initial cancer-directed treatment within 12 months of diagnosis was modeled using AutoRegressive Integrated Moving Average (ARIMA) to estimate immediate (level) and sustained (trend) effects.

resultsNo significant immediate or sustained changes in the median time to treatment were observed using Federal Emergency Management Agency-based exposure definitions. However, using ZIP code-level FLDEX data, patients with colorectal cancer in high-flood exposure areas (≥0.1% and ≥0.5% flooded) experienced significant immediate median delays of 10.39 [95% confidence interval (CI) = 2.8-18] and 10.97 days (95% CI = 2.1-19.9), respectively.

conclusionsAlthough no significant effects on time to treatment were observed using traditional measures of hurricane hazards, more granular flood extent data revealed treatment delays among patients with colorectal cancer living in areas with greater flooding extent. IMPACT: These findings provide support for further investigation of the use of ZIP code-level flood extent data to evaluate hurricane impacts on continuity of cancer care.

Indexed as

Cyclonic StormsFloodsNeoplasmsTime-to-TreatmentAgedFemaleHumansMaleMiddle AgedNorth CarolinaRegistriesTreatment Delay

Identifiers

PMID41954601
PMCPMC13189058

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.